This report shows summary statistics produced by the disease variant validation pipeline for predictions made by ABC. The following report is done for IBD traits.

Plotting enrichment of IBD variants

These barplots calculates the enrichment for fine-mapped IBD variants (PIP >= 10%) in ABC enhancers and enhancers without promoter regions (promoter regions as defined by RefSeq) across all biosamples.
We also calculate the fraction of IBD variants (PIP >= 10%) that overlap ABC enhancers and enhancers without promoter regions (promoter regions as defined by RefSeq) across all biosamples.

## Scale for 'colour' is already present. Adding another scale for 'colour',
## which will replace the existing scale.
## Scale for 'colour' is already present. Adding another scale for 'colour',
## which will replace the existing scale.

Plotting fraction overlap of variants

We plot the fraction overlap of IBD variants (PIP >= 10%) that overlap ABC enhancers and enhancers without promoter regions (promoter regions as defined by RefSeq) across all biosamples.

## Scale for 'colour' is already present. Adding another scale for 'colour',
## which will replace the existing scale.
## Scale for 'colour' is already present. Adding another scale for 'colour',
## which will replace the existing scale.


# Plotting Precision-Recall Curves These precision-recall curves seek to plot the performance of choosing the gene with the best score per locus.
Precision = fraction of identified genes corresponding to the list of known genes that affect IBD Recall = fraction of known genes that were identified.

This plot seeks to answer the question:
1. How well does the prediction method connect noncoding credible sets to known disease genes?


## null device 
##           1

Plotting aggregate precision-recall curves for IBD

## null device 
##           1


Aggregate Cumulative Density and Density plots across all predictors for enrichment values with all enhancer regions as well as enhancer regions (without promoters)